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Disease Patterns Recognition Based on User-Generated Content

  • Yuejun Wang
  • , Zhong Yao
  • , Jichang Zhao*
  • *此作品的通讯作者
  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

With the prosperous development of medical communities such as DingXiang, Good-Doctor-Online, how to use user-generated content (UGC) to tap the hidden value, and better serve the doctors and patients have become a common concern. In this paper, the DingXiang UGC was employed to extract symptom words. The association rules mining based on the skewed support distribution was used to disclose the frequent patterns between the symptoms and diseases. At the same time, the robustness was measured and evaluated. The results of this study can not only help patients with initial self-diagnosis, but also shed light on new ideas for medical research from a data-driven manner.

源语言英语
主期刊名2018 15th International Conference on Service Systems and Service Management, ICSSSM 2018
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(印刷版)9781538651780
DOI
出版状态已出版 - 13 9月 2018
活动15th International Conference on Service Systems and Service Management, ICSSSM 2018 - Hangzhou, 中国
期限: 21 7月 201822 7月 2018

出版系列

姓名2018 15th International Conference on Service Systems and Service Management, ICSSSM 2018

会议

会议15th International Conference on Service Systems and Service Management, ICSSSM 2018
国家/地区中国
Hangzhou
时期21/07/1822/07/18

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